CN107456226A - Wearable ECG monitoring and diagnostic system based on cloud - Google Patents
Wearable ECG monitoring and diagnostic system based on cloud Download PDFInfo
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- CN107456226A CN107456226A CN201710695681.1A CN201710695681A CN107456226A CN 107456226 A CN107456226 A CN 107456226A CN 201710695681 A CN201710695681 A CN 201710695681A CN 107456226 A CN107456226 A CN 107456226A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0006—ECG or EEG signals
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
- A61B5/333—Recording apparatus specially adapted therefor
- A61B5/335—Recording apparatus specially adapted therefor using integrated circuit memory devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
Abstract
The invention discloses a kind of wearable ECG monitoring based on cloud and diagnostic system, including wearable ECG monitoring device, mobile terminal, Cloud Server and remote terminal.The system determines quantity and the position of wear-type electrocardioelectrodevice by body surface potential mapping first, wearable ECG monitoring device is collected the higher electrocardiosignal of quality and is sent by bluetooth；Mobile terminal receives data and real-time display and storage, also carries out data interaction by wireless telecommunications and Cloud Server, realizes the upload of electrocardiogram (ECG) data and diagnostic result, downloads；User's electrocardiogram (ECG) data and the cardiac diagnosis model of machine learning algorithm training generation are stored in Cloud Server；Remote terminal is based primarily upon Web applications, it is allowed to which the user having permission passes through network inquiry data.The present invention realizes real-time intelligent diagnosis to a certain extent, wearable ECG monitoring device is more had practical value.
Description
Technical field
The present invention relates to having a kind of wearable ECG monitoring based on cloud and diagnostic system, belong to medical treatment electronic equipment technology
Field.
Background technology
Angiocardiopathy is the main cause of non-propagated disease death in global range, has become and endangers human life and be good for
" number one killer " of health.《Chinese cardiovascular disease report 2015》Point out, it is dead that Chinese cardiovascular death rate in 2014 still occupies disease
The first place of composition is died, wherein rural area is 44.6%, city 42.51%.Due to cardiovascular disease have it is disguised, sudden and not
The characteristics of predictable, long time-histories is carried out to the hearts of the sub-health populations such as old man and monitored in real time, catches arrhythmia cordis
Electrocardiogram, the diagnosis and early warning for angiocardiopathy are particularly significant.
Electrocardiosignal is the bioelectrical signals for reacting cardiac rhythm sexuality, is clinically important physiological parameter.Heart
Be made up of the successive excitement of pacemaker, atrium and ventricle each cardiac cycle, each cycle is along with bioelectric
Change, these biological electricity are measured in body surface connection electrode so as to obtain electrocardiosignal, recycle electrocardiograph to electrocardio
Signal, which is described, just obtains electrocardiogram.Electrocardiographic diagnosis as one of the important detection of cardiovascular disease, diagnostic means, is facing
Bed is used widely.
With the development of medical science and electronic technology, the measuring instrument of electrocardiogram develops into the dynamic heart by bedside cardiac monitoring
Electricity monitoring, but many medical and domestic medical device volumes are big, complex circuit, can not carry and realize and guard for a long time.And city
Common Wearable measurement parameter is single on field, and precision is not high, it is impossible to reflects the condition of user.It is existing to wear
Wear formula cardioelectric monitor equipment and use dryness electrode and non-standard lead more.Although dryness electrode is advantageous in comfortableness,
In the presence of the problems such as such as contact impedance is big, signal link Parameters variation is big, matching is difficult；Non-standard lead is in wearable measurement scene
In whether real situation can be described well, whether have mapping relations, and the electricity of non-standard lead between standard lead
Pole is placed and use condition is required for further being studied.
At present in terms of the research of electrocardiogram intelligent diagnostics is concentrated mainly on beat classification, because it is for arrhythmia cordis
Diagnosis there is directive significance.In order to realize the detection of abnormal heart bat in electrocardiosignal, machine learning is currently used method.
As crowd's quantity of concern and prevention of cardiovascular disease is continuously increased, the quantity of sample can be very huge.Secondly as wearing
Formula electrocardiograph monitoring device is generally used for guarding for a long time, and obtained data capacity is larger.In addition, the machine of reply large-scale data
Learning method can not ensure the real-time of data analysis and cardiac diagnosis on common computer or equipment.And Cloud Server conveniently enters
Row resource management, can not only convenient Extended Spaces data storage, additionally it is possible to dynamic adaptation computing resource, ensures to calculate speed
Degree.
The content of the invention
The present invention proposes a kind of wearable ECG monitoring and diagnosis based on cloud to solve problems of the prior art
System, improve wearable non-standard cardiac diagnosis lead, system is monitored, gather the electrocardiosignal of better quality in real time,
And real-time display, storage, upload and the download of user's electrocardiosignal can be realized in mobile terminal, and utilize Cloud Server
Store extensive electrocardiogram (ECG) data and establish the diagnostic model based on beat classification, realize intelligent diagnostics to a certain extent, meanwhile,
Medical institutions, government department and user relatives can be conducted interviews and inquired about to related data by website.
Technical scheme：A kind of wearable ECG monitoring and diagnostic system based on cloud, including wearable ECG monitoring device,
For receiving electrocardiogram (ECG) data and carrying out the mobile terminal of real-time display and storage, for storing the wearable ECG number of all users
According to and provide diagnostic service Cloud Server and for for user carry out data query remote terminal；The wearable ECG prison
Measurement equipment is sent the electrocardiogram (ECG) data collected to mobile terminal in real time by bluetooth, and the mobile terminal with cloud by wirelessly taking
Business device carries out data interaction, and the remote terminal can send inquiry request to Cloud Server；The heart is provided with the Cloud Server
Electrodiagnosis model, the beat classification result for specifying electrocardiogram (ECG) data can be returned to according to user instruction.
Further, the mobile terminal includes client end interface, and the client end interface includes coordinate net trrellis diagram and function
Button, the coordinate net trrellis diagram are used for real-time display waveform and synchronously stored, and the function button is for controlling mobile terminal
It is no to receive data from cardioelectric monitor equipment and uploaded to Cloud Server, download electrocardiogram (ECG) data or cardiac diagnosis result.
Further, the cardioelectric monitor equipment include wearing clothing, electrocardioelectrode, wire, for the electrocardio to receiving
Signal is amplified the electrocardiosignal analog front-end chip of filtering, the signal for receiving the electrocardiosignal analog front-end chip
And the microcontroller of analog-to-digital conversion and bandpass filtering is carried out to the signal, for realizing between cardioelectric monitor equipment and mobile terminal
The bluetooth module and power module of data transfer, the electrocardioelectrode are arranged on the inner side of wearing clothing, are additionally provided with the wearing clothing
Electrocardio node interface, electrocardioelectrode are connected by wire with electrocardio node interface, the electrocardio node interface and electrocardiosignal mould
The input pin for intending front-end chip is connected.
Further, the electrocardiosignal analog front-end chip, microcontroller, low-power consumption bluetooth module and power module hold
Put in electrocardio node accommodating case, the bossing of hidden discount, the lug boss of the hidden discount are provided with outside the electrocardio node accommodating case
Divide and be connected with the input pin of electrocardiosignal analog front-end chip, the negative area of the hidden discount is arranged in electrocardio node interface.
Further, the electrocardio node accommodating case sidepiece is provided with and stirs type power switch.
Further, the electrocardioelectrode quantity and position obtain reflecting that heartbeat is effectively believed according to heart electrical model
The position of breath determines, the heart electrical model be based on body surface potential mapping result combination heart-Torso Phantom and
FitzHugh-Nagumo mathematical modelings obtain.
The beneficial effects of the invention are as follows：The present invention is compared with prior art：
(1) present invention combines human body-human trunk model using body surface potential mapping experiment, improves the heart of wearable ECG device
Electric number of electrodes and position, it ensure that the active ingredient of the electrocardiosignal of Wearable collection and improve signal to noise ratio；
(2) present invention devises mobile terminal, substantially increase Wearable data transfer, check, handle it is flexible
Property, and the intercommunity between Wearable and user.
(3) present invention proposes to use Cloud Server, and storage problem and the movement for solving a large number of users electrocardiogram (ECG) data are whole
Thus end constructs wearable ECG signal data using partial data training generation diagnostic model and the hardware limitation stored
Storehouse.
(4) remote terminal proposed by the present invention facilitates medical institutions, government department or user relatives to understand user in time
Situation, make a response.
(5) proposition of the present invention with machine learning method generate beat classification model, innovatively wearable signal acquisition,
Signal processing and analyzing combines, and is truly realized intelligent diagnostics to a certain extent, make wearable system for user more
With Practical significance, help ruck is convenient, simply understands heart.
Brief description of the drawings
Fig. 1 is the wearable ECG monitoring device schematic diagram of the present invention；
Fig. 2 is the electrocardio node accommodating case structural representation of the present invention；Wherein scheme (a) to tie for the electrocardio node accommodating case back side
Structure schematic diagram；It is electrocardio node accommodating case side schematic view to scheme (b)；
Fig. 3 is the electrocardio node interface schematic diagram of the present invention；
Fig. 4 is the main interface of the Android mobile terminal of the present invention；
The Android mobile terminal that Fig. 5 is the present invention receives the flow chart that Wearable transmits electrocardiogram (ECG) data；
Fig. 6 is the schematic diagram of the present invention.
Embodiment
It is described further below in conjunction with drawings and examples.
As shown in Figure 1, 2, the wearable ECG monitoring device of the present embodiment include wearing clothing 1, electrocardioelectrode 2, wire 3,
Electrocardio node interface 4 and electrocardio node accommodating case 5, the electrocardio node accommodating case 5 are placed at clothing left outer chest, the present embodiment
Internal diameter, the external diameter of electrocardio node accommodating case 5 be respectively 42mm and 47mm, be highly 15mm, for accommodating electrocardiosignal simulation
Front-end chip, microcontroller, the integrated circuit of low-power consumption bluetooth module and power supply.It is provided with outside electrocardio node accommodating case 5 dark
The bossing 7 of button, the negative area of the hidden discount are arranged in electrocardio node interface 4, the hidden discount quantity and electrocardio of the present embodiment
Number of electrodes is consistent, and so, electrocardio node is fixed on clothing in the form of dismountable.The electrocardio node accommodating case of the present embodiment
5 cylindrical side is provided with the opening that size is 10mm × 5mm, and for placing the power switch 6 for type of stirring, convenient control is wearable
Equipment works.
When carrying out body surface potential mapping experiment, electrode is placed in 117 positions of upper half of human body, gathers body surface potential.
According to experimental result, with reference to heart-Torso Phantom and FitzHugh-Nagumo mathematical modelings, parameter optimization is carried out, finally
That is corrected is applied to wearable heart electrical model.According to model, selection can most reflect heartbeat effective information
Electrocardioelectrode 2 is placed in position, gathers electrocardiosignal.
Electrocardioelectrode 2 is followed successively by note positioned at the specified location of the inner side of wearing clothing 1 by lateral skin direction in wearing clothing 1
Recall the resilient support layer and conductive textile layer of sponge composition.Wherein, resilient support layer makes conductive textile layer more fully touch
Human body surface skin, catch small-signal.The memory foam diameter of the present embodiment is about 3cm, thickness 0.5cm；Conductive fabric
Layer oozes solid conductive fabric HTL-1 for a diameter of 4cm silver.During concrete operations, resilient support layer is put in conductive textile layer and worn
Between wearing clothing 1, and conductive textile layer is concentric places, then along conductive textile layer circumferential edges by conductive textile layer and wearing clothing 1
It is sewed together.
Conductive fabric transmission line that the wire 3 of the present embodiment includes being arranged concentrically from inside to outside, insulative water-proof nylon layer, lead
Electric fabric screen layer and cotton outer layer.
As shown in Figure 1,3, an electrocardio node interface 4 is provided with the left chest of wearing clothing 1, in electrocardio node interface 4
On have with electrocardioelectrode quantity identical joint 8, joint 8 be hidden discount negative area.The one end of wire 3 is connected with electrocardioelectrode 2,
The other end is connected with the joint 8 in electrocardio node interface 4.The bossing 7 of hidden discount in electrocardio node accommodating case 5 is believed with electrocardio
The input pin of number analog front-end chip is connected.Meanwhile in the bright corresponding symbol of bossing 7 and the sidenote of joint 8 of hidden discount, guarantee
During system use, signal transmission interface connection is correct.Projection and negative area occlusion when hidden discount, after turning on the power,
Electrocardio node is connected with electrocardioelectrode, and electrocardiosignal analog front-end chip is amplified to the signal collected, filtering, Ran Houxin
Number be sent to microprocessor and carry out analog-to-digital conversion and bandpass filtering, then be sent in a manner of UART bluetooth module transmit to
The mobile terminal of android system.
As shown in figure 4, Android mobile terminal interface is mainly made up of coordinate grid Fig. 9 and function button 10.Such as Fig. 5
Shown, mobile terminal is realized and after the Bluetooth pairing of wearable ECG monitoring device, clicks on that the application program page is upper left " to be opened
After beginning " button, program constantly monitors local bluetooth device port, and whether inquiry port has data to come in.When there is data to come in,
Application program will open up two threads again.The electrocardiogram (ECG) data that one thread is responsible for will be transmitted on mobile phone is preserved in real time, text
Part is named with the time；Another thread is then responsible for electrocardiogram (ECG) data being depicted as electrocardio by AChartEngine drawing tool galleries
Figure.After " stopping " button is pressed in the application program page, program stopped receives data and display data waveform.Click on and " upload
Electrocardiogram (ECG) data ", all electrocardiogram (ECG) datas record under current application program file is shown, select to pass through after specifying electrocardiogram (ECG) data
Data are uploaded to Cloud Server by POST modes." download electrocardiogram (ECG) data " and " download diagnostic result " button is clicked on, can be distinguished
The specified history electrocardiographic recording of user oneself and the beat classification result of specified electrocardiographic recording are downloaded from Cloud Server.Electrocardiogram (ECG) data
After reaching Cloud Server, the data of mobile terminal can be deleted at any time, and data are also achieved while saving memory space
Preservation and safety problem.Data interaction between Android mobile terminal and Cloud Server is based on internet, mainly passes through GPRS
And WLAN, it is impossible to off-line operation.
A large amount of electrocardiogram (ECG) datas for marking heart bat type by shooting are first pre-stored in Cloud Server, reuse principal component analysis
Method and neural network algorithm combine these data training generation beat classification model, are stored in Cloud Server.Work as Cloud Server
When receiving request, decided whether to return to corresponding data according to type.After receiving " upload electrocardiogram (ECG) data " order, by what is received
Data storage is in database.After receiving " download electrocardiogram (ECG) data " order, existed according to the user name of order sender and filename
History electrocardiographic recording is searched in database and is transmitted.After receiving " download diagnostic result " order, electrocardiogram (ECG) data that user is specified
Input in the beat classification model being trained to, obtain specifying the heart of electrocardiogram (ECG) data to clap composition, and result is returned into Android and moved
Dynamic terminal.Beat classification model can be updated in the later stage with reference to more data, model is tackled more more complicated hearts
Electric signal.
Remote terminal is mainly used in community medical institutions, departments of government and user relatives, it conveniently understood, looked into
The heart of patient, the common people and household are ask and grasped, realizes the purpose of early diagnosis early treatment, while be departments of government system
The relevant policies for determining the relation people's livelihood provide data.Remote terminal is based primarily upon Web applications, it is allowed to which the user having permission inquires about related
The electrocardiogram (ECG) data of user, a kind of user can inquire about the electrocardiogram (ECG) data for downloading all users, another then can only obtain current use
The electrocardiogram (ECG) data at family.Mainly include, login page, search for the page of user name and passport NO., user's electrocardiogram (ECG) data record row
The page that table is shown, and the page that electrocardiogram (ECG) data waveform is shown, this page allow segmentation to check.
Claims (6)
1. a kind of wearable ECG monitoring and diagnostic system based on cloud, it is characterised in that：Including wearable ECG monitoring device,
For receiving electrocardiogram (ECG) data and carrying out the mobile terminal of real-time display and storage, for storing the wearable ECG number of all users
According to and provide diagnostic service Cloud Server and for for user carry out data query remote terminal；The wearable ECG prison
Measurement equipment sends the electrocardiogram (ECG) data collected to mobile terminal in real time, and the mobile terminal with Cloud Server by wirelessly carrying out
Data interaction, the remote terminal can send inquiry request to Cloud Server；Cardiac diagnosis mould is provided with the Cloud Server
Type, the beat classification result for specifying electrocardiogram (ECG) data can be returned to according to user instruction.
2. a kind of wearable ECG monitoring and diagnostic system based on cloud according to claim 1, it is characterised in that：It is described
Mobile terminal includes client end interface, and the client end interface includes coordinate net trrellis diagram and function button, and the coordinate net trrellis diagram is used
Carry out real-time display waveform and synchronously store, the function button be used for control mobile terminal whether from cardioelectric monitor equipment receive number
Uploaded according to and to Cloud Server, download electrocardiogram (ECG) data or cardiac diagnosis result.
3. a kind of wearable ECG monitoring and diagnostic system based on cloud according to claim 1, it is characterised in that：It is described
Wearable ECG monitoring device include wearing clothing, electrocardioelectrode, wire, for being amplified filtering to the electrocardiosignal received
Electrocardiosignal analog front-end chip, the signal for receiving the electrocardiosignal analog front-end chip and to the signal carry out mould
Number conversion and microcontroller, the bluetooth mould for realizing data transfer between cardioelectric monitor equipment and mobile terminal of bandpass filtering
Block and power module, the electrocardioelectrode are arranged on the inner side of wearing clothing, electrocardio node interface, electrocardio are additionally provided with the wearing clothing
Electrode is connected by wire with electrocardio node interface, and the input of the electrocardio node interface and electrocardiosignal analog front-end chip is drawn
Pin is connected.
4. a kind of wearable ECG monitoring and diagnostic system based on cloud according to claim 3, it is characterised in that：It is described
Electrocardiosignal analog front-end chip, microcontroller, bluetooth module and power module are contained in electrocardio node accommodating case, the electrocardio
It is provided with the bossing of hidden discount outside node accommodating case, the bossing of the hidden discount is defeated with electrocardiosignal analog front-end chip
Enter pin to be connected, the negative area of the hidden discount is arranged in electrocardio node interface.
5. a kind of wearable ECG monitoring and diagnostic system based on cloud according to claim 3, it is characterised in that：It is described
Electrocardio node accommodating case sidepiece is provided with and stirs type power switch.
6. a kind of wearable ECG monitoring and diagnostic system based on cloud according to claim 3, it is characterised in that：It is described
Electrocardioelectrode quantity and position obtain reflecting that the position of heartbeat effective information determines according to heart electrical model, the cardiac electric
Learn model and be based on body surface potential mapping experimental result combination heart-Torso Phantom and FitzHugh-Nagumo mathematical modelings
Obtain.
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| CN108309279A (en) * | 2018-02-10 | 2018-07-24 | 安徽工程大学 | A kind of wearable electrocardiograph monitoring device |
| CN108461113A (en) * | 2017-12-29 | 2018-08-28 | 武汉明德生物科技股份有限公司 | Telediagnosis of Electrocardiogram Signals Network Management System and method |
| CN110353656A (en) * | 2019-07-12 | 2019-10-22 | 东南大学 | A kind of wearable ECG monitor system and its monitoring method based on cloud framework |
| WO2019214026A1 (en) * | 2018-05-09 | 2019-11-14 | 吉林大学珠海学院 | Ecg feature extraction method employing pcanet |
| CN110827973A (en) * | 2019-10-21 | 2020-02-21 | 山东勤成信息科技有限公司 | Public health intelligence physical examination terminal |
| CN111407271A (en) * | 2018-11-30 | 2020-07-14 | 吴迪 | Wearable subassembly of intelligence of self-power flexible electrode |
| CN111728605A (en) * | 2020-06-18 | 2020-10-02 | 联想(北京)有限公司 | Signal processing method and device |
| CN114934336A (en) * | 2022-05-10 | 2022-08-23 | 陕西锦澜科技有限公司 | Conductive blended yarn, flame-retardant conductive fabric and flexible intelligent wearable device |
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| CN110353656A (en) * | 2019-07-12 | 2019-10-22 | 东南大学 | A kind of wearable ECG monitor system and its monitoring method based on cloud framework |
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